摘要
针对传统大数据信息抽取算法存在信息单次抽取量少、速率低等问题,提出了基于人工智能的大数据信息快速抽取新算法。通过挖掘大数据基本信息时刻检测数据存储位置,估计数据操作的外部条件,获取高精确度初始数据,并采用信息规则分析法完善数据信息结构,改进抽取算法,完成大数据信息快速抽取。实验结果表明,所提算法能够深入挖掘信息,增大了抽取信息量,提高了抽取速率。
Aiming at the problems of traditional big data information extraction algorithms,such as less information extraction and low speed,this paper proposes a new big data information extraction algorithm based on artificial intelligence.By mining the basic information of big data,the location of data storage is detected,the external conditions of data operation are estimated,and the initial data with high accuracy is obtained.Moreover,the information rule analysis method is adopted to improve the data information structure,and the extraction algorithm is improved to complete the rapid extraction of big data information.Experimental results show that the proposed algorithm can dig into the information,increase the extraction information and improve the extraction rate.
作者
于晓翠
陈亮
林泽源
YU Xiaocui;CHEN Liang;LIN Zeyuan(Jieyang Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Jieyang 522000,China)
出处
《电子设计工程》
2021年第5期149-153,共5页
Electronic Design Engineering
基金
广东省科技项目(2019B090922007)。
关键词
人工智能
大数据
数据信息
快速抽取
artificial intelligence
big data
data information
rapid extraction
